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Unlock the full potential of Large Language Models by learning how to build tool-calling agents in Python! In this comprehensive tutorial, we'll dive deep into multi-agent system design patterns that enable AI to interact with the real world. 🔧 What you'll learn: 1. Why traditional LLMs are limited by their inability to take real-world actions 2. How to overcome the limitations of outdated or incorrect AI training data 3. Step-by-step implementation of tool-calling agents in Python 4. Building on our previous Reflection Agent concepts to create more powerful systems 5. Practical examples: creating agents that can send emails, retrieve information, and more Whether you're building enterprise applications or personal projects, understanding how to extend LLMs with tool-using capabilities is a game-changing skill. I'll show you exactly how to design and implement these systems from scratch, with clear Python code examples you can adapt to your own projects. 👉 Like, subscribe, and hit the notification bell to stay updated with the latest AI development techniques! #Python #AIAgents #MachineLearning #LLM #ToolUse #ArtificialIntelligence #MultiAgentSystems #SoftwareEngineering Buy me a coffee: https://www.buymeacoffee.com/princez3 Follow me on social media: Discord community server: / discord twitter: / prince_krampah Channel main page: / codewithprince Hope you enjoy today's video. Please show your love and support by just liking and subscribing to the channel so we can grow a strong and powerful community. Activate the 🔔 beside the subscribe button to get the notification!📩 If you have any questions or requests feel free to leave them in the comments below. Thank you for watching and see you in the next video!!